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Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

Moll M; Sakornsakolpat P; Shrine N; Hobbs BD; DeMeo DL; John C; Guyatt AL; McGeachie MJ; Gharib SA; Obeidat M; Lahousse L; Wijnant SRA; Brusselle G; Meyers DA; Bleecker ER; Li X; Tal-Singer R; Manichaikul A; Rich SS; Won S; Kim WJ; Do AR; Washko GR; Barr RG; Psaty BM; Bartz TM; Hansel NN; Barnes K; Hokanson JE; Crapo JD; Lynch D; Bakke P; Gulsvik A; Hall IP; Wain L; International COPD Genetics Consortium; SpiroMeta Consortium; Weiss ST; Silverman EK; Dudbridge F; Tobin MD; Cho MH

Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

Moll M
Sakornsakolpat P
Shrine N
Hobbs BD
DeMeo DL
John C
Guyatt AL
McGeachie MJ
Gharib SA
Obeidat M
Lahousse L
Wijnant SRA
Brusselle G
Meyers DA
Bleecker ER
Li X
Tal-Singer R
Manichaikul A
Rich SS
Won S
Kim WJ
Do AR
Washko GR
Barr RG
Psaty BM
Bartz TM
Hansel NN
Barnes K
Hokanson JE
Crapo JD
Lynch D
Bakke P
Gulsvik A
Hall IP
Wain L
International COPD Genetics Consortium
SpiroMeta Consortium
Weiss ST
Silverman EK
Dudbridge F
Tobin MD
Cho MH
Katso/Avaa
Publisher's version (481.0Kb)
Lataukset: 

doi:10.1016/S2213-2600(20)30101-6
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042822629
Tiivistelmä

Background: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes.

Methods: We constructed a polygenic risk score using a genome-wide association study of lung function (FEV1 and FEV1/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV1/FVC <0·7 and FEV1 <80% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth.

Findings: The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1·81 [95% CI 1·74-1·88] and non-European (1·42 [1·34-1·51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7·99 (6·56-9·72) in European ancestry and 4·83 (3·45-6·77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0·80 [0·79-0·81] vs 0·76 [0·75-0·76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The polygenic risk score was associated with a reduced lung growth pattern.

Interpretation: A risk score comprised of genetic variants can identify a small subset of individuals at markedly increased risk for moderate-to-severe COPD, emphysema subtypes associated with cigarette smoking, and patterns of reduced lung growth.

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